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AI workflows
AI in design is no longer a novelty; it is a workflow question. This hub covers how product and service teams use AI for research synthesis, layout suggestions, content generation, and critique — with the scepticism a good design lead would apply. Each development is labelled hype, adoption, or established, and never treats the model as the decision-maker. If you are building AI literacy on your team, start here for sourced summaries and one practical move per briefing.
- Adoption
Designers are quietly using AI to synthesise, not draw
Practitioners on r/UXDesign say the real AI win isn't Midjourney mockups, it's using GPT to chew through research data and even skip Figma prototyping for prompt-to-code tools like Loveable. That's a shift from AI-as-toy to AI-as-teammate.
reddit.com
- Adoption
AI is rewiring design work, not replacing it
A late-2025 practitioner session argued the real shift isn't the AI plugin you pick — it's how you restructure your workflow around it. Designers who redesign the process, not just speed up one task, are the ones actually benefiting.
youtube.com
- Adoption
AI design tools: useful but still narrow
NN/g's May 2025 field research found AI tools help with narrow, repetitive tasks like layer naming and organising, not full design thinking. Real designers are using them daily, but nobody's job is being replaced by a magic 'design' button yet.
nngroup.com
- Hype
AI code/design review agents: opt-in, not autopilot
The Linux kernel project just dogfooded an AI agent reviewing patches — strictly opt-in, framed as 'signal, not verdict.' It's a preview of how AI-assisted review will likely land in design tools too.
neuronad.com
- Adoption
AI's real design impact: it rewires workflows, not tasks
MIT Sloan research argues AI's biggest effect is changing how tasks are sequenced and handed off, not just automating single steps. For designers that shows up most at handoff points.
mitsloan.mit.edu
Also worth exploring: Design tools · UCD methods